What is Transformers?
It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
Transformers is a tool in the NLP / Sentiment Analysis category of a tech stack.
Transformers is an open source tool with 125.6K GitHub stars and 24.9K GitHub forks. Here’s a link to Transformers's open source repository on GitHub
Who uses Transformers?
Companies
17 companies reportedly use Transformers in their tech stacks, including Shelf, quantilope, and Kinderboerderij het Gouden Gansje.
Developers
80 developers on StackShare have stated that they use Transformers.
Transformers Integrations
TensorFlow, PyTorch, Hugging Face, Weaviate, and Qdrant are some of the popular tools that integrate with Transformers. Here's a list of all 14 tools that integrate with Transformers.
Transformers's Features
- High performance on NLU and NLG tasks
- Low barrier to entry for educators and practitioners
- Deep learning researchers
- Hands-on practitioners
- AI/ML/NLP teachers and educators
Transformers Alternatives & Comparisons
What are some alternatives to Transformers?
JavaScript
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Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
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Python
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jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
